The Data Insights Unit (DIU)'s mission is to bring scientific rigour to all business decisions in Schroders. In essence we do this by:
1. making available new data sources, 2. unlocking the value in data by providing a research service, answering business questions by analysing these datasets, 3. scaling the value in data by building Insight Products: generalising those analyses or anticipating those questions by alerting people to relevant changes before they know to ask.
Through all these we use specialist Data Science tools and techniques: Big Data technologies, Intelligence Augmentation and Artificial Intelligence techniques, and insights from the world of Behavioural Science.
The quantity of information available for investment research purposes is increasing at such a rate that traditional industry practices and skillsets are unable to absorb and process it. Global trends in digitalisation, social media, open data and technology are all creating vast streams of alternative data that are often highly unstructured and obscure. However, they contain valuable and often rare insights. The DIU aims to find these new and potentially unorthodox datasets, extract the rich, hidden information they contain and use their expertise to improve traditional fundamental research.
First established in 2015, the DIU's team of over 25 data professionals is at the forefront of rethinking how to blend together technology (data, algorithms, software) with expert human judgement (especially research analysts and fund managers) to deliver the best outcomes for our clients. This includes the establishment of a network of embedded data professionals in many of the business teams in Schroders, and providing effective and quality tools to and 'data enthusiasts' elsewhere in the business. Having established itself as an essential part of the business, we see a clear need to establish a good, well-curated 'data hub' to equip all these people to rapidly deliver value.
Overview of role
Data is the lifeblood of business decisions throughout Schroders. Whilst the DIU is aware of the importance of good data engineering, data governance, data management and data cataloguing in order to extract the most value from data with the least friction and risk, these are shared concerns rather than sitting with any one individual at present. You would be leading projects to actively improve the quality and integrity of our data and tooling as an investment in future capabilities, working alongside the request-led part of the team.
The DIU have mastered a number of valuable datasets in a variety of data systems including on the cloud (Amazon Redshift), in conventional on-premise databases (MS SQL Server, PostgreSQL, MongoDB) and in an on-premise Hortonworks Hadoop cluster. Elsewhere, the central Technology function is gradually mirroring Operational datastores into a Group Data Warehouse (GDW) conforming to a highly normalised Group Data Model.
In order to improve usability for analytical users across all of these systems, we have secured funding to build a Virtual Data Warehouse and associated Data Catalogue. This will let us build and offer a Data Hub, acting as a single point of access for analytics users. This will be a natural place to better define access permissions and curate things that make analytics users more effective and allow them to share each others' work. You will be setting the direction for these technologies and their use by the community of data scientists and analytics users across the organisation. You will be working closely with the DIU itself, with other business teams that analyse data, and with the systems architects and data architects in the Technology division.
You will report to the Head of Data Insights & Analytics who is co-head of the DIU team. This will be a senior role within the team, working as a peer to the other team Leads and joining the leadership team of the DIU. As well as acting as an authority on the topic of data management across the DIU, you will also be 'Capability Owner' for the Data Engineering team. In the first months of arrival there will be time for initial onboarding and scoping, where you will have the opportunity to review the current situation and form proposals for future developments.
As part of the role you will be building relationships with other business teams and with our colleagues in the Technology function, ensuring that the various initiatives align and help each other.
1. Defining and communicating the Data and Metadata Management strategy for the Data Insights Unit and the wider community of data professionals across the business. 2. Promoting good practice in data governance, data management, and knowledge management within the DIU. You will ensure that tools in support of these activities are fit for purpose, well-supported, and that team members know how and when to use them. You will also be helping others develop themselves, educating them and sharing your knowledge in good data management practices. 3. Identifying datasets and refinement activities in the team that would benefit from being centralised and modelled/engineered to a higher standard for the benefit of other teams, i.e. you will be leading our work curating DIU data so that it is made available to other teams. 4. Acting as 'Capability Owner' for the team of data engineers supporting the Data Insights Unit, shaping the direction and priorities in analytics system engineering and data pipelining activities. This team perform most of the ETL and platform engineering that supports the work of the DIU and the wider network of embedded data scientists in other teams. 5. General contribution to the wider goals of the DIU, including building relationships with internal customers and the wider data science and analytics community within Schroders. As a relatively new team with an evolving mandate, you would be able to contribute in our programme of projects and tasks as the needs require. You will be an important voice within the Leadership team of the DIU on matters relating to people, tactics and strategy.
Team Culture The Data Insights Unit is a friendly, dynamic and exciting team, and we welcome applications from a diverse range of individuals at all levels of hiring. Schroders has strong support for flexible working practices, including modern technology for remote working. As such we offer a friendly and welcoming home for diverse and neuro-diverse individuals with various home/family arrangements. The DIU consciously adopts a strengths-based style of management and personal development. We strive to understand people's motivations and strengths and orient their roles to play to these. This applies to their immediate role and as part of their ongoing career development into future roles. Schroders offers exceptional benefits, including excellent pension and flexible benefits worth roughly 25% of base salary in total. In addition all team members benefit from Schroders' bonus scheme. In this, bonus is shared out across the DIU team with far more weight on team performance than individual performance - we all succeed as a team, and so we share in the rewards as a team. Further details can be given on request. Schroders is an equal opportunities employer and welcomes applications regardless of sex, marital status, ethnic origin, sexual orientation, religious belief or age. Schroders is an equal opportunities employer and welcomes applications regardless of sex, marital status, family commitments, ethnic origin, sexual orientation, religious belief or age.
Skills / Experience
Pragmatic, willing to take action
Good communication and influencing skills
Meaningful skill/experience in...
SQL and relational databases
data modelling (preferably including data warehouse/OLAP modelling approaches)
at least one programming language (not including SQL or similar)
Several years' experience in relevant field (e.g. information science, data management, data architecture, site reliability engineering, technology/development)
Relevant degree (e.g. computer science, information/library science, mathematics/OR/statistics or a solid quantitative discipline in science, business or social science)
Ability to work well as part of a team
Nice to have
Use of Tableau for data visualisation. Experience with PowerBI / Qlikview / Spotfire also useful.
Librarian Science or other curatorial practice.
Experience working closely with or supporting a data analytics/data science/BI/MI function
ETL / Data Pipelining / Data Engineering skills
Statistical analysis and interpretation
Programming/analysis scripting experience in R or Python.
Linux experience and shell scripting.
Big data experience such as Hadoop, Spark, Hive.
Asset Management / Investment practices
Internal Number: 4927065
About Schroders Investment Management
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